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import cv2
import numpy as np
import functions
#fotograf ozellikleri
heightImg = 300*4
widthImg = 210*4
#pathImage = "denemeler/100luk_numarali.jpg"
questions=20
choices=6
def reader(pathImage, save_images= True):
#cevap anahtarini dosyadan okuma ve sayiya cevirme
#perspektif islemleri icin cozunurluk
wrap_h = 18*20
wrap_v = 18*20
img = pathImage #eger girdi dogrudan np arrayse
#fotonun okunmasi ------------------------------------------------------------------------------------------------
#img = cv2.imread(pathImage)
img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
img = cv2.resize(img, (widthImg, heightImg)) # RESIZE IMAGE
imgBiggestContour = img.copy()
imgFinal = img.copy()
imgContours = img.copy()
imgBlank = np.zeros((heightImg,widthImg, 3), np.uint8)
#donusumler---------------------------------------------------------------------------------
imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # CONVERT IMAGE TO GRAY SCALE
imgBlur = cv2.GaussianBlur(imgGray, (5, 5), 1) # ADD GAUSSIAN BLUR
imgCanny = cv2.Canny(imgBlur,10,70) # APPLY CANNY
#CONTOURS-------------------------------------------------------
contours, hierarchy = cv2.findContours(imgCanny, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
cv2.drawContours(imgContours, contours, -1, (0, 255, 0), 10) # DRAW ALL DETECTED CONTOURS
#dortgen bulma--------------------------------------------------
rectCon = functions.rectContour(contours)
biggestContour = functions.getCornerPoints(rectCon[0])
secondContour = functions.getCornerPoints(rectCon[1])
thirdContour = functions.getCornerPoints(rectCon[2])
#fourthContour = functions.getCornerPoints(rectCon[3])
#main
if biggestContour.size != 0 and secondContour.size != 0:
cv2.drawContours(imgBiggestContour, biggestContour,-1,(0,255,0),20)
cv2.drawContours(imgBiggestContour, secondContour,-1,(255,0,0),20) #sondk' kalinlik ortada renk
cv2.drawContours(imgBiggestContour, thirdContour,-1,(0,0,255),20) #sondk' kalinlik ortada renk
#cv2.drawContours(imgBiggestContour, fourthContour,-1,(0,0,20),20) #sondk' kalinlik ortada renk
biggestContour=functions.reorder(biggestContour)
#cevap siklari icin -************************************************************
pts1 = np.float32(biggestContour)
pts2 = np.float32([[0, 0],[wrap_v, 0], [0, wrap_h],[wrap_v, wrap_h]])
matrix = cv2.getPerspectiveTransform(pts1, pts2)
imgWarpColored_1 = cv2.warpPerspective(img, matrix, (wrap_v, wrap_h))
imgWarpGray_1 = cv2.cvtColor(imgWarpColored_1,cv2.COLOR_BGR2GRAY)
imgThresh_1 = cv2.threshold(imgWarpGray_1,0,255,cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
#second buyuk icin perspektif
secondContour=functions.reorder(secondContour)
pts1_2 = np.float32(secondContour)
pts2_2 = np.float32([[0, 0],[wrap_v, 0], [0, wrap_h],[wrap_v, wrap_h]])
matrix_2 = cv2.getPerspectiveTransform(pts1_2, pts2_2)
imgWarpColored_2 = cv2.warpPerspective(img, matrix_2, (wrap_v, wrap_h))
imgWarpGray_2 = cv2.cvtColor(imgWarpColored_2,cv2.COLOR_BGR2GRAY)
#imgThresh_2 = cv2.threshold(imgWarpGray_2, 170, 255,cv2.THRESH_BINARY_INV )[1]
imgThresh_2 = cv2.threshold(imgWarpGray_2,0,255,cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
#student id
bubbles = functions.split_num(imgThresh_2, 10, 10)
myPixelVal_2 = functions.pixelVal(10,10,bubbles)
myPixelVal_2 = functions.id_reorder(myPixelVal_2)
student_id = functions.id_answers(10,myPixelVal_2)
#print(student_id)
#soru kisimi
column_3 = functions.splitColumn(imgThresh_1)
boxes_1 = functions.splitBoxes(column_3[0])
boxes_2 = functions.splitBoxes(column_3[1])
boxes_3 = functions.splitBoxes(column_3[2])
#boxes_1
myPixelVal_1 = functions.pixelVal(questions,choices,boxes_1)
myIndex_1 = functions.user_answers(questions,myPixelVal_1)
#boxes_2
myPixelVal_2 = functions.pixelVal(questions,choices,boxes_2)
myIndex_2 = functions.user_answers(questions,myPixelVal_2)
#boxes_3
myPixelVal_3 = functions.pixelVal(questions,choices,boxes_3)
myIndex_3 = functions.user_answers(questions,myPixelVal_3)
student_idFix = ""
for number in student_id:
student_idFix += str(number)
myIndexs = [myIndex_1,myIndex_2,myIndex_3]
return student_idFix, myIndexs
#sonuc = optic1(ans_txt="cevapanahtari.txt",pathImage= "denemeler/100luk_numarali.jpg")
#print(sonuc)
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